Skip to main content

Schwannomatosis Open Research Collaborative Computational Partnership Initiative

Banner for schwannomatosis open research collaborative, involving children's tumor foundation, nf data portal, and sage bionetworks.

Need help analyzing schwannomatosis omics or other big data? Apply for the Schwannomatosis Open Research Collaborative Computational Partnership Initiative

With support from the Children’s Tumor Foundation, our partners at Sage Bionetworks have established the Schwannomatosis Open Research Collaborative (SORC) with the goal of identifying genomic features that contribute to disease etiology and heterogeneity in schwannomatosis (SWN), including SMARCB1-related SWN, LZTR1-SWN, 22q-related SWN, SWN-not otherwise specified, and NF2-related SWN, while also expanding the NF community’s capacity for computational research.

We have built resources that decentralize computational biology research, allowing us to engage and collaborate with researchers from around the world. As a part of this effort, we are excited to launch the SORC Computational Partnership Initiative, in which we will work with selected researchers to design and complete genomic analyses, providing the necessary genomics expertise and computational resources.

To be eligible for this initiative, applicants must:

  • have data available at the launch of the partnership, either directly from the researcher or through publicly available data repositories
  • have a specific question they are trying to answer or an analysis they are trying to perform
  • agree to complete a data-sharing plan and share data used in the analyses through the NF data portal at the conclusion of the project or upon publication of a relevant manuscript
  • co-author a micropublication describing the partnership effort

Applicants should develop an outline of the proposed analysis they are hoping to perform or the biological question they would like to answer using the available data. Interested researchers should set up a meeting with SORC leadership for an informal, preliminary discussion to brainstorm and refine analysis ideas. Upon completion of analyses, SORC will provide a written report with all necessary information that can be included in a relevant publication. Our capacity is limited, so we will prioritize projects based on feasibility which will be evaluated on a first-come, first-serve basis. Priority will also be given to projects focused on rarer classifications of SWN.

If you are interested in the SORC Computational Partnership, please email  nf-osi@sagebionetworks.org with the subject line “SORC Computational Partnership Proposal” and provide an outline of your proposed analysis to set up an informal meeting to discuss your analysis needs or ideas.